def __init__(self):
super(CameraMainWin, self).__init__()
self.setupUi(self)
#定义相机实例对象并设置捕获模式
self.camera = QCamera()
self.camera.setCaptureMode(QCamera.CaptureViewfinder)
self.cameraOpened = False # 设置相机打开状态为未打开
#设置取景器分辨率
viewFinderSettings = QCameraViewfinderSettings()
viewFinderSettings.setResolution(800, 600)
self.camera.setViewfinderSettings(viewFinderSettings)
#初始化取景器
self.viewCamera = QtMultimediaWidgets.QCameraViewfinder(self)
self.camera.setViewfinder(self.viewCamera)
self.camera.setCaptureMode(QCamera.CaptureStillImage)
self.camerLayout.addWidget(self.viewCamera) #取景器放置到预留的布局中
#设置图像捕获
self.capture = QCameraImageCapture(self.camera)
self.capture.setCaptureDestination(
QCameraImageCapture.CaptureToBuffer) #CaptureToBuffer
self.switchCamera: QPushButton
self.switchCamera.clicked.connect(self.SwitchCamera)
self.takePic.clicked.connect(self.TakePic)
self.capture.error.connect(lambda i, e, s: self.alert(s))
self.capture.imageAvailable.connect(self.saveImage)
self.capture.imageCaptured.connect(
lambda d, i: self.status.showMessage("Image %04d captured" % self.
save_seq))
def _on_camera_status_changed(self, status: QCamera.Status):
if self._ok_done:
# camera/scan is quitting, abort.
return
self.print_error('camera status changed to {}'.format(self._get_camera_status_name(status)))
if status == QCamera.LoadedStatus:
# Determine the optimal resolution and compute the crop rect
camera_resolutions = self.camera.supportedViewfinderResolutions()
try:
resolution, was_ideal = self._get_resolution(camera_resolutions, self.SCAN_SIZE)
except RuntimeError as e:
self._error_message = str(e)
self.reject()
return
self._set_resolution(resolution)
# Set the camera resolution
viewfinder_settings = QCameraViewfinderSettings()
viewfinder_settings.setResolution(resolution)
self.camera.setViewfinderSettings(viewfinder_settings)
# Counter for the QR scanner frame number
self.frame_id = 0
self.camera.start()
self.lowres_label.setVisible(not was_ideal) # if they have a low res camera, show the warning label.
elif status == QCamera.UnloadedStatus or status == QCamera.UnavailableStatus:
self._error_message = _("Cannot start QR scanner, camera is unavailable.")
self.reject()
elif status == QCamera.ActiveStatus:
self.open()
def setDisplaySize(self, display_width_: int, display_height_: int):
self.mDisplayWidth = display_width_
self.mDisplayHeight = display_height_
viewFinderSettings = QCameraViewfinderSettings()
viewFinderSettings.setResolution(self.mDisplayWidth,
self.mDisplayHeight)
self.mCamera.setViewfinderSettings(viewFinderSettings)
def _on_status_changed(self, status: QCamera.Status) -> None:
logger.debug("_on_camera_status_changed: %s", status)
if status == QCamera.LoadedStatus:
supported_resolutions = self.supportedViewfinderResolutions()
logger.info("Supported view finder resolutions: %s",
supported_resolutions)
if self._requested_viewfinder_resolution:
if self._requested_viewfinder_resolution in supported_resolutions:
logger.info(
"Setting resolution to %s",
self._requested_viewfinder_resolution,
)
requested_settings = QCameraViewfinderSettings()
requested_settings.setResolution(
self._requested_viewfinder_resolution)
self.setViewfinderSettings(requested_settings)
else:
raise ValueError(
"Requested viewfinder resolution %s, "
"but the only supported resolutions are %s",
", ".join(map(str, supported_resolutions)),
)
camera_resolution = self.viewfinderSettings().resolution()
logger.info("Using resolution: %s", camera_resolution)
def __init__(self):
super(CameraMainWin, self).__init__()
self.setupUi(self)
#定义相机实例对象并设置捕获模式
self.camera = QCamera()
self.camera.setCaptureMode(QCamera.CaptureViewfinder)
self.cameraOpened = False # 设置相机打开状态为未打开
#设置取景器分辨率
viewFinderSettings = QCameraViewfinderSettings()
viewFinderSettings.setResolution(800, 600)
self.camera.setViewfinderSettings(viewFinderSettings)
#初始化取景器
self.viewCamera = QtMultimediaWidgets.QCameraViewfinder(self)
self.camera.setViewfinder(self.viewCamera)
self.camerLayout.addWidget(self.viewCamera) #取景器放置到预留的布局中
#设置图像捕获
self.capImg = QCameraImageCapture(self.camera)
self.capImg.setCaptureDestination(
QCameraImageCapture.CaptureToFile) #CaptureToBuffer
class mainInterface(QWidget):
# 定义信号
processFinished = pyqtSignal(dict)
def __init__(self):
"""
初始化
:return: null
"""
# 超类初始化
super().__init__()
# UI初始化
self.ui = Ui_mainWidget()
self.ui.setupUi(self)
self.grabKeyboard()
self.setMouseTracking(True)
self.setWindowFlags(Qt.FramelessWindowHint)
self.setWindowIcon(QIcon('OCR.ico'))
# 初始化相机
self.camera = QCamera()
self.imageCapture = QCameraImageCapture(self.camera)
self.viewsetting = QCameraViewfinderSettings()
self.initimplement()
# 初始化标题栏
self.initTitleBar()
# 初始化系统托盘
self.tray = QSystemTrayIcon()
self.tray.setIcon(QIcon('OCR.ico'))
self.initTray()
# OCR识别部分
self.OCR = ocr()
self.OCR.setappid('1257206643')
self.OCR.setsecretid('AKIDFTddWEg9Ncsz0sE7oOpBNOExdDdeCUJ3')
self.OCR.setsecretkey('FQitsgUND8yfrZK0RrBMOJB5tWhCm5Ol')
# 初始化登录部分
self.logWidget = QWidget()
self.logui = Ui_Form()
self.logui.setupUi(self.logWidget)
self.logWidget.setWindowFlags(Qt.FramelessWindowHint)
self.logWidget.setWindowModality(Qt.ApplicationModal)
self.logui.close_btn.clicked.connect(self.logWidget.close)
# 初始化变量
self.mousePressd = False
self.mousePoint = None
self.result = {}
self.isFirst = False
self.ocrType = ocrType.ocr_general # 默认为印刷体识别
# 初始化字定义信号连接
self.processFinished.connect(self.updateOCRInfo)
self.ui.btn_login.clicked.connect(self.logWidget.show)
self.ui.comboBox_choose.currentIndexChanged.connect(self.changeocrType)
def initTitleBar(self):
"""
初始化标题栏
:return: null
"""
self.ui.frame.setStyleSheet(
"QFrame#frame{background-color:rgb(244, 76, 76);}")
self.ui.label_logo.setStyleSheet(
"QLabel{border-image:url(./image/ocr.png);}")
self.ui.label_title.setStyleSheet(
"QLabel{border-image:url(./image/iOCR.png);}")
self.ui.comboBox_choose.setStyleSheet(
"QComboBox {border-radius:15px;border: 2px solid #4AFFF4;font-family:'楷体';font-size:20px;}"
"QComboBox QAbstractItemView::item{height:50px;width:200px;}"
"QComboBox::down-arrow{image: url(./image/arrow.png);width:25px;height:25px;}"
"QComboBox::drop-down {subcontrol-origin: padding;subcontrol-position:top right;border:none;margin-right:30px;}"
"QComboBox::down-arrow:hover{image:url(./image/arrow_hover.png);width:25px;height:25px;}"
"QComboBox::down-arrow:on {top: 1px;left: 1px;}")
self.ui.comboBox_choose.insertItem(0, ' 印刷体识别')
self.ui.comboBox_choose.insertItem(1, ' 手写体识别')
self.ui.comboBox_choose.insertItem(2, ' 身份证识别')
self.ui.comboBox_choose.insertItem(3, ' 名片识别')
self.ui.comboBox_choose.insertItem(4, ' 银行卡识别')
self.ui.btn_login.setStyleSheet(
"QPushButton{border-image:url(./image/default-portrait.png);}")
self.ui.btn_setting.setStyleSheet(
"QPushButton{border-image:url(./image/settings.png);}"
"QPushButton:hover{border-image:url(./image/qcconfig-hover.png);}")
self.ui.btn_min.setStyleSheet(
"QPushButton{border-image:url(./image/mini_new.png);}"
"QPushButton:hover{border-image:url(./image/mini_hover_new.png);}")
self.ui.btn_close.setStyleSheet(
"QPushButton{border-image:url(./image/close.png);}"
"QPushButton:hover{border-image:url(./image/close-hover.png);}")
self.ui.checkBox_cam.setStyleSheet(
"QCheckBox{spacing: 5px;font-size: 24px;vertical-align:middle}"
"QCheckBox::indicator { width: 45px;height: 45px;}"
"QCheckBox::indicator::unchecked {image: url(./image/close_cam.png);}"
"QCheckBox::indicator::checked { image: url(./image/open_cam.png);}"
)
self.ui.captureBtn.setStyleSheet(
"QPushButton{border-style: outset;border-width: 2px;border-color: rgb(82,215,100);border-radius: 5px;font-size: 24px;}"
"QPushButton:pressed{background-color: rgb(176,215,181);border-style: inset;}"
)
self.ui.checkBox_cam.setChecked(True)
self.ui.btn_close.clicked.connect(lambda: qApp.quit())
self.ui.btn_min.clicked.connect(self.miniToTray)
self.ui.checkBox_cam.stateChanged.connect(self.camControl)
def initTray(self):
"""
初始化系统托盘信息
:return:
"""
tray_menu = QMenu()
restoreAction = QAction('&Show', self)
quitAction = QAction('&Quit', self)
tray_menu.addAction(restoreAction)
tray_menu.addAction(quitAction)
self.tray.setContextMenu(tray_menu)
restoreAction.triggered.connect(self.trayActivatedEvent)
quitAction.triggered.connect(qApp.quit)
self.tray.activated.connect(self.trayActivatedEvent)
def initimplement(self):
"""
初始化实现端口
:return: ui
"""
camInfo = QCameraInfo(self.camera)
if camInfo.defaultCamera().isNull():
QMessageBox.warning(self, 'Warning', 'No available camera!',
QMessageBox.Ok)
return -1
else:
self.ui.caputurePhoto.setText(camInfo.description())
self.camera.setViewfinder(self.ui.cameraShow)
self.camera.setCaptureMode(QCamera.CaptureStillImage)
self.camera.load()
resolution = self.camera.supportedViewfinderResolutions()
if len(resolution) != 0:
if QSize(640, 480) in resolution:
self.viewsetting.setResolution(QSize(640, 480))
elif QSize(640, 360) in resolution:
self.viewsetting.setResolution(QSize(640, 360))
else:
self.viewsetting.setResolution(resolution[0])
self.camera.setViewfinderSettings(self.viewsetting)
# ------------------------------Note--------------------------------
# 此种方法利用摄像头准备捕捉图像的状态来进行捕捉图像，readyForCapture
# 为true时，才进行捕捉图像，详见下面捕捉函数槽函数。这种方法将进行不
# 停的捕捉，将每次捕捉的相邻图像进行图像相似度判断。当图像相似度低于
# 阈值时，认定为新图像，才进行OCR识别。否则仅捕捉图像而不进行识别。当
# 然捕捉图像速度过于太快时，可以用定时器，每隔0.5秒，去检查readyFor
# Capture状态位，进而有效控制程序资源。
# 本应用中采用按键捕捉方式，非自动，详见下面按键捕捉事件
# ↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓↓
# self.imageCapture.readyForCaptureChanged.connect(self.captureimage)
self.camera.start()
self.ui.caputurePhoto.setScaledContents(True)
self.imageCapture.setCaptureDestination(
QCameraImageCapture.CaptureToBuffer)
self.imageCapture.imageCaptured.connect(self.displayimage)
self.ui.captureBtn.clicked.connect(self.openDlg)
def displayimage(self, num, image):
"""
显示图形
:param num: number
:param image: image
:return: null
"""
self.ui.caputurePhoto.setPixmap(QPixmap.fromImage(image))
self.ui.ocrInfo.setText('识别中......')
t = threading.Thread(target=self.ocrForImage, args=(image, ))
t.start()
# def captureimage(self, state):
# """
# 捕捉图像槽函数
# :state: 状态变量
# :return: null
# """
# if state is True:
# self.camera.searchAndLock()
# self.imageCapture.capture()
# self.camera.unlock()
# def saveimage(self):
# """
# 保存图像槽函数
# :return: null
# """
# pix = QPixmap(self.ui.caputurePhoto.pixmap())
# if pix:
# pix.save(r'D://1.png', 'PNG')
# QMessageBox.information(self, 'Message', 'Capture Successfully', QMessageBox.Ok)
def ocrForImage(self, image):
"""
为截取的图片进行ocr识别
:param image: QImage
:return: null
"""
# Note:子线程里不能对ui界面做改动，ui界面修改只能在主线程中修改，下面注释的做法是错误的
# self.ui.ocrInfo.setText('识别中......')
byte = QByteArray()
buffer = QBuffer(byte)
buffer.open(QIODevice.WriteOnly)
image.save(buffer, 'PNG')
if self.ocrType == ocrType.ocr_general:
self.result = self.OCR.client.general_detect(
CIBuffers([byte.data()]))
elif self.ocrType == ocrType.ocr_handwriting:
self.result = self.OCR.client.handwriting_detect(
CIBuffers([byte.data()]))
elif self.ocrType == ocrType.ocr_idcard:
self.result = self.OCR.client.idcard_detect(
CIBuffers([byte.data()]), 0)
elif self.ocrType == ocrType.ocr_namecard:
self.result = self.OCR.client.namecard_detect(
CIBuffers([byte.data()]), 0)
elif self.ocrType == ocrType.ocr_bankcard:
self.result = self.OCR.client.bankcard_detect(
CIBuffers([byte.data()]))
else:
pass
self.processFinished.emit(self.result)
def updateOCRInfo(self, res):
"""
将ocr识别结果显示在信息框中
:param res:
:return:
"""
if self.ocrType == ocrType.ocr_general or self.ocrType == ocrType.ocr_handwriting:
if res['code'] == 0 and res['message'] == 'OK':
self.ui.ocrInfo.setText('OK')
ocrInfo = []
for i in range(len(self.result['data']['items'])):
ocrInfo.append(
self.result['data']['items'][i]['itemstring'])
self.ui.ocrInfo.setText(''.join(ocrInfo))
else:
self.ui.ocrInfo.setText('识别失败！')
elif self.ocrType == ocrType.ocr_bankcard:
if res['code'] == 0 and res['message'] == 'OK':
self.ui.ocrInfo.setText('OK')
ocrInfo = []
for i in range(len(self.result['data']['items'])):
ocrInfo.append(self.result['data']['items'][i]['item'])
ocrInfo.append(':')
ocrInfo.append(
self.result['data']['items'][i]['itemstring'])
ocrInfo.append('\n')
self.ui.ocrInfo.setText(''.join(ocrInfo))
else:
self.ui.ocrInfo.setText('识别失败！')
elif self.ocrType == ocrType.ocr_idcard:
if res['result_list'][0]['code'] == 0 and res['result_list'][0][
'message'] == 'OK':
self.ui.ocrInfo.setText('OK')
ocrInfo = []
ocrInfo_keys = list(
self.result['result_list'][0]['data'].keys())
ocrInfo_values = list(
self.result['result_list'][0]['data'].values())
for i in range(
len(self.result['result_list'][0]['data']) // 2):
ocrInfo.append(ocrInfo_keys[i])
ocrInfo.append(':')
ocrInfo.append(ocrInfo_values[i])
ocrInfo.append('\n')
self.ui.ocrInfo.setText(''.join(ocrInfo))
else:
self.ui.ocrInfo.setText('识别失败！')
elif self.ocrType == ocrType.ocr_namecard:
if res['result_list'][0]['code'] == 0 and res['result_list'][0][
'message'] == 'OK':
self.ui.ocrInfo.setText('OK')
ocrInfo = []
for i in range(len(self.result['result_list'][0]['data'])):
ocrInfo.append(
self.result['result_list'][0]['data'][i]['item'])
ocrInfo.append(':')
ocrInfo.append(
self.result['result_list'][0]['data'][i]['value'])
ocrInfo.append('\n')
self.ui.ocrInfo.setText(''.join(ocrInfo))
else:
self.ui.ocrInfo.setText('识别失败！')
else:
pass
def camControl(self, state):
"""
槽函数
控制相机开关
:param state: checkbox开关状态
:return:null
"""
if state == Qt.Unchecked:
self.ui.cameraShow.setUpdatesEnabled(False)
elif state == Qt.Checked:
self.ui.cameraShow.setUpdatesEnabled(True)
else:
return -1
def miniToTray(self):
"""
槽函数
最小化到系统托盘
:return:null
"""
if not self.tray.isVisible():
self.tray.show()
if self.tray.isVisible():
if self.isFirst is False:
QMessageBox.information(
self, "Systray", "The program will keep running in the "
"system tray. To terminate the program, "
"choose <b>Quit</b> in the context menu "
"of the system tray entry.")
self.isFirst = True
self.hide()
def trayActivatedEvent(self, reason):
"""
槽函数
响应点击托盘图标
:param reason: 响应原因
:return: null
"""
if reason == QSystemTrayIcon.Context:
pass
else:
self.tray.hide()
self.show()
def openDlg(self):
"""
槽函数
打开对话框选取文件
:return:文件名
"""
filename, filetype = QFileDialog.getOpenFileName(
self, '选取图片', path.expanduser('~'),
"Image Files (*.png *.jpg *.bmp)")
if filename:
if QFile(filename).size() >= 6291456:
QMessageBox.information(self, '打开图片',
'选择图片大于6MB大小，暂不支持识别，请重新选择。')
self.openDlg()
else:
self.displayimage(0, QImage(filename))
def keyPressEvent(self, e):
"""
槽函数
键盘按键响应事件
:param e: 按键事件
:return: null
"""
if e.key() == Qt.Key_Space:
if self.imageCapture.isReadyForCapture():
self.camera.searchAndLock()
self.imageCapture.capture()
self.camera.unlock()
def mouseMoveEvent(self, e):
"""
槽函数
定义鼠标移动事件
:param e: QMouseEvent
:return: null
"""
if (e.buttons() == Qt.LeftButton) and self.mousePressd:
self.move(e.globalPos() - self.mousePoint)
e.accept()
def mousePressEvent(self, e):
"""
槽函数
定义鼠标按下事件
:param e: QMouseEvent
:return: null
"""
if e.button() == Qt.LeftButton:
self.mousePressd = True
self.mousePoint = e.globalPos() - self.pos()
e.accept()
def mouseReleaseEvent(self, e):
"""
槽函数
定义鼠标松开事件
:param e: QMouseEvent
:return: null
"""
self.mousePressd = False
def changeocrType(self, index):
"""
槽函数
改变ocr识别类型
:param index: int
:return: null
"""
if index == 0:
self.ocrType = ocrType.ocr_general
elif index == 1:
self.ocrType = ocrType.ocr_handwriting
elif index == 2:
self.ocrType = ocrType.ocr_idcard
elif index == 3:
self.ocrType = ocrType.ocr_namecard
elif index == 4:
self.ocrType = ocrType.ocr_bankcard
else:
pass